Difference between revisions of "MacWilliams identities"
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<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001060.png" /></td> <td valign="top" style="width:5%;text-align:right;">(a3)</td></tr></table> | <table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001060.png" /></td> <td valign="top" style="width:5%;text-align:right;">(a3)</td></tr></table> | ||
− | Two other sets of equations equivalent to either (a1), (a2) or (a3) and more convenient for some calculations are called the power moment identities [[#References|[a3]]]. They involve the Stirling numbers of the second kind <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001061.png" /> (cf. also [[Combinatorial analysis|Combinatorial analysis]]). One such set is | + | Two other sets of equations equivalent to either (a1), (a2) or (a3) and more convenient for some calculations are called the power moment identities [[#References|[a3]]]. They involve the [[Stirling numbers]] of the second kind <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001061.png" /> (cf. also [[Combinatorial analysis|Combinatorial analysis]]). One such set is |
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001062.png" /></td> <td valign="top" style="width:5%;text-align:right;">(a4)</td></tr></table> | <table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/m/m110/m110010/m11001062.png" /></td> <td valign="top" style="width:5%;text-align:right;">(a4)</td></tr></table> |
Revision as of 19:17, 21 November 2014
A -dimensional subspace of the linear space of all -tuples over the finite field is called an linear code over . The vectors in are called code words. The weight of a vector is the number of its non-zero components. A generator matrix for a code is any -matrix whose rows form a basis of . The ordinary inner product of vectors , in is
The dual of is the linear code defined by
The weight distribution of a code of length gives the number of vectors of each weight , , denoted by . For example, let be the linear code over with generating matrix
The only non-zero weights in are , .
While the weight distribution does not, in general, uniquely determine a code, it gives important information that has both practical and theoretical significance. The most fundamental result about weight distributions are the MacWilliams equations, a set of linear relations between the weight distributions of and . These equations imply that the weight distribution of is uniquely determined by the weight distribution of . These relations have been the most significant tool available for investigating and calculating weight distributions.
Let denote the number of vectors of weight in . If is an linear code over , then there are two equivalent sets of MacWilliams equations [a1]:
(a1) |
(a2) |
where .
If , both sets of equations say that , which states the obvious result that an code over contains codewords. The other equations are not so obvious. One can solve either set of equations for the weight distribution of , obtaining and .
An elegant and much used way to express these relations is in terms of polynomials. The weight enumerator of a code of length is:
The following equation is equivalent to either (a1) or (a2) for a code over :
(a3) |
Two other sets of equations equivalent to either (a1), (a2) or (a3) and more convenient for some calculations are called the power moment identities [a3]. They involve the Stirling numbers of the second kind (cf. also Combinatorial analysis). One such set is
(a4) |
where .
The power moments are particularly useful for giving conditions under which the weight distributions of a code and its dual are uniquely determined. This is illustrated in the following theorem: A unique solution to the power moments exists under the conditions that or fewer 's are unknown and that are known [a3]. In this situation, the weight distributions of both and are uniquely determined.
There are also MacWilliams equations for non-linear codes [a2].
References
[a1] | F.J. MacWilliams, "A theorem on the distribution of weights in a systematic code" Bell System Techn. J. , 42 (1963) pp. 79–94 |
[a2] | F.J. MacWilliams, N.J.A. Sloane, J.M. Goethals, "The MacWilliams identities for nonlinear codes" Bell System Techn. J. , 51 (1972) pp. 803–819 |
[a3] | V. Pless, "Power moment identities on weight distributions in error-correcting codes" Inform. and Control , 6 (1963) pp. 147–152 |
MacWilliams identities. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=MacWilliams_identities&oldid=34715